Ricardo Cerri - RankMe

93 papers A* 2A 2B 18C 6Misc 5Journal 35Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Machine Learning in medical research: A systematic literature mapping study. Artif. Intell. Medicine Giovanna A. Castro, Luiza G. Barioto, Yu H. Cao, Renato Moraes Silva, Helena de Medeiros Caseli, João A. Machado-Neto, Ricardo Cerri, Aline Villavicencio, Tiago A. Almeida
2026	A*	`conf`	Oxytrees: Model Trees for Bipartite Learning. AAAI Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2025	J	`jnl`	A Systematic Literature Review on Multi-label Data Stream Classification. CoRR H. Freire-Oliveira, Elaine Ribeiro de Faria, João Gama, Latifur Khan, Ricardo Cerri
2025	J	`jnl`	ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers. Data Min. Knowl. Discov. Douglas Monteiro Cavalcanti, Ricardo Cerri, Elaine Ribeiro de Faria
2025	—	`conf`	Data Stream Mining to Predict Recommended Actions for Firewall Network Traffic. BRACIS (1) Herbert Gonçalves Dias, Wagner Rafael Giarini, Ricardo Cerri
2025	J	`jnl`	Ensemble multi-label classification using closed frequent labelsets and label taxonomies. Appl. Soft Comput. Mauri Ferrandin, Ricardo Cerri
2025	B	`conf`	Grammar-based Evolutionary Approaches for Software Effort Estimation. CEC Márcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Péricles B. C. Miranda, Teresa Bernarda Ludermir
2025	C	`conf`	Inductive models for structured output prediction of lncRNA-disease associations. CIBCB Felipe Kenji Nakano, Livia Bertoni, Ricardo Cerri, Celine Vens
2025	J	`jnl`	Multi-label classification with label clusters. Knowl. Inf. Syst. Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri
2025	J	`jnl`	Oxytrees: Model Trees for Bipartite Learning. CoRR Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2025	J	`jnl`	Pdarts: projected differentiable architecture search for seismic inversion. Mach. Learn. Lucas C. Souza, Carlos G. C. Junior, Ricardo Cerri, Edson S. Gomi, Bruno S. Carmo, Hermes Senger, Murilo Naldi
2024	J	`jnl`	A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies. Appl. Soft Comput. Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ferrante Neri, Márcio P. Basgalupp, Ricardo Cerri
2024	J	`jnl`	Automated CNN optimization using multi-objective grammatical evolution. Appl. Soft Comput. Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. Miranda, Tapas Si, Ricardo Cerri, Márcio P. Basgalupp
2024	J	`jnl`	Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2024	C	`conf`	Classification of LTR Retrotransposons via Interaction Prediction. CIBCB Silvana C. S. Cardoso, Douglas Silva Domingues, Alexandre Rossi Paschoal, Carlos N. Fischer, Ricardo Cerri
2024	—	`conf`	Comparative Analysis of Machine Learning Algorithms for Identifying Genetic Markers Linked to Alzheimer's Disease. BRACIS (3) Juliana Alves, Eduardo Costa, Alencar Xavier, Luiz Brito, Ricardo Cerri
2024	B	`conf`	Deep forests with tree-embeddings and label imputation for weak-label learning. IJCNN Pedro Ilídio, Ricardo Cerri, Celine Vens, Felipe Kenji Nakano
2024	B	`conf`	Ensemble Methods for Selecting Single Nucleotide Polymorphisms Associated to Rice Phenotypes. IJCNN Breno O. Funicheli, Claudio Brondani, Rosana P. Vianello, Ricardo Cerri
2024	Misc	`conf`	Fast Bipartite Forests for Semi-supervised Interaction Prediction. SAC Pedro Ilídio, André Hallwas Ribeiro Alves, Ricardo Cerri
2024	—	`conf`	Growing Self-Organizing Maps for Multi-label Classification. BRACIS (2) Pedro Henrique Casarotto, Ricardo Cerri
2024	—	`conf`	Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization. BRACIS (2) Leonardo U. Alcantara, Isaac Triguero, Ricardo Cerri
2023	B	`conf`	A New Time Series Framework for Forest Fire Risk Forecasting and Classification. IJCNN Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri
2023	J	`jnl`	A systematic literature review on AutoML for multi-target learning tasks. Artif. Intell. Rev. Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri
2023	—	`conf`	AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification. BRACIS (2) Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri
2023	—	`conf`	Community Detection for Multi-label Classification. BRACIS (1) Elaine Cecília Gatto, Alan Demétrius Baria Valejo, Mauri Ferrandin, Ricardo Cerri
2023	—	`conf`	Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design. BRACIS (2) Rodney Renato de Souza Silva, Ricardo Cerri
2023	J	`jnl`	Multi-label classification via closed frequent labelsets and label taxonomies. Soft Comput. Mauri Ferrandin, Ricardo Cerri
2023	J	`jnl`	Novelty detection for multi-label stream classification under extreme verification latency. Appl. Soft Comput. Joel D. Costa, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
2023	Misc	`conf`	Semi-Supervised Hybrid Predictive Bi-Clustering Trees for Drug-Target Interaction Prediction. SAC André Hallwas Ribeiro Alves, Pedro Ilídio, Ricardo Cerri
2022	B	`conf`	A Two-step Model for Drug-Target Interaction Prediction with Predictive Bi-Clustering Trees and XGBoost. IJCNN André Hallwas Ribeiro Alves, Ricardo Cerri
2022	—	`conf`	A new grammatical evolution method for generating deep convolutional neural networks with novel topologies. GECCO Companion Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Ricardo Cerri
2022	C	`conf`	An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. ICMLA Ricardo Cerri, Elaine R. Faria, João Gama
2022	J	`jnl`	Investigating deep feedforward neural networks for classification of transposon-derived piRNAs. Complex Intell. Syst. Alisson Hayasi da Costa, Renato Augusto Corrêa dos Santos, Ricardo Cerri
2021	Misc	`conf`	A new self-organizing map based algorithm for multi-label stream classification. SAC Ricardo Cerri, Joel David Costa Júnior, Elaine R. Faria, João Gama
2021	J	`jnl`	Beyond global and local multi-target learning. Inf. Sci. Márcio P. Basgalupp, Ricardo Cerri, Leander Schietgat, Isaac Triguero, Celine Vens
2021	B	`conf`	Exploring Autoencoders for Feature Extraction in Multi-Target Classification. IJCNN Brendon Gouveia Cambuí, Rafael Gomes Mantovani, Ricardo Cerri
2021	B	`conf`	Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification. IJCNN Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri
2021	B	`conf`	Feature Selection for Hierarchical Multi-label Classification. IDA Luan V. M. da Silva, Ricardo Cerri
2021	J	`jnl`	Preventing the generation of inconsistent sets of crisp classification rules. Expert Syst. Appl. Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ricardo Cerri
2021	J	`jnl`	The experience of teaching introductory programming skills to bioscientists in Brazil. PLoS Comput. Biol. Luíza Zuvanov, Ana Letycia Basso Garcia, Fernando Henrique Correr, Rodolfo Bizarria Jr., Ailton Pereira da Costa Filho, Alisson Hayasi da Costa, Andréa T. Thomaz, Ana Lucia Mendes Pinheiro, Diego Mauricio Riaño-Pachón, Flavia Vischi Winck, Franciele Grego Esteves, Gabriel Rodrigues Alves Margarido, Giovanna Maria Stanfoca Casagrande, Henrique Cordeiro Frajacomo, Leonardo Martins, Mariana Feitosa Cavalheiro, Nathalia Graf Grachet, Raniere Gaia Costa da Silva, Ricardo Cerri, Rommel Thiago Juca Ramos, Simone Daniela Sartorio de Medeiros, Thayana Vieira Tavares, Renato Augusto Corrêa dos Santos
2020	J	`jnl`	Active learning for hierarchical multi-label classification. Data Min. Knowl. Discov. Felipe Kenji Nakano, Ricardo Cerri, Celine Vens
2020	J	`jnl`	DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking. Appl. Soft Comput. Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon Jr.
2020	J	`jnl`	Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm. CoRR Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri
2020	—	`conf`	Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. GECCO Companion Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri
2020	—	`ed.`	Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I BRACIS (1) Ricardo Cerri, Ronaldo C. Prati
2020	—	`ed.`	Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II BRACIS (2) Ricardo Cerri, Ronaldo C. Prati
2020	J	`jnl`	Multi-label Stream Classification with Self-Organizing Maps. CoRR Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva, João Manuel Portela da Gama
2020	—	`conf`	Predictive Bi-clustering Trees for Hierarchical Multi-label Classification. ECML/PKDD (3) Bruna Zamith Santos, Felipe Kenji Nakano, Ricardo Cerri, Celine Vens
2019	A	`conf`	A lexicographic genetic algorithm for hierarchical classification rule induction. GECCO Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri
2019	—	`conf`	Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm. EPIA (1) Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri
2019	—	`conf`	Hierarchical Classification of Transposable Elements. BNAIC/BENELEARN Felipe Kenji Nakano, Ricardo Cerri
2019	J	`jnl`	Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. Appl. Soft Comput. Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho
2019	J	`jnl`	Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach. J. Signal Process. Syst. Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior
2019	—	`conf`	Novelty Detection for Multi-Label Stream Classification. BRACIS Joel D. Costa Júnior, Elaine Ribeiro de Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
2019	J	`jnl`	Preventing the Generation of Inconsistent Sets of Classification Rules. CoRR Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ricardo Cerri
2019	B	`conf`	Pruned Sets for Multi-Label Stream Classification without True Labels. IJCNN Joel D. Costa Júnior, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri
2018	B	`conf`	A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction. CEC Gean Trindade Pereira, Bruna Zamith Santos, Ricardo Cerri
2018	J	`jnl`	A machine learning based framework to identify and classify long terminal repeat retrotransposons. PLoS Comput. Biol. Leander Schietgat, Celine Vens, Ricardo Cerri, Carlos N. Fischer, Eduardo P. Costa, Jan Ramon, Claudia M. A. Carareto, Hendrik Blockeel
2018	J	`jnl`	An empirical study on hyperparameter tuning of decision trees. CoRR Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho
2018	J	`jnl`	Applying multi-label techniques in emotion identification of short texts. Neurocomputing Alex Marino Gonçalves de Almeida, Ricardo Cerri, Emerson Cabrera Paraiso, Rafael Gomes Mantovani, Sylvio Barbon Junior
2018	A*	`conf`	Hierarchical Multi-Label Classification Networks. ICML Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros
2018	J	`jnl`	Hierarchical and Non-Hierarchical Classification of Transposable Elements with a Genetic Algorithm. J. Inf. Data Manag. Gean Trindade Pereira, Ricardo Cerri
2018	B	`conf`	Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. IJCNN Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri
2018	B	`conf`	Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. IJCNN Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
2018	—	`conf`	Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements. BRACIS Bruna Zamith Santos, Gean Trindade Pereira, Felipe Kenji Nakano, Ricardo Cerri
2018	J	`jnl`	frontmatter. J. Inf. Data Manag. Angelo Brayner, Maristela Holanda, Ricardo Cerri
2017	B	`conf`	A self-organizing map-based method for multi-label classification. IJCNN Gustavo G. Colombini, Iuri Bonna M. de Abreu, Ricardo Cerri
2017	—	`conf`	DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. BRACIS Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon
2017	Misc	`conf`	Hierarchical multi-label classification with chained neural networks. SAC Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dôres, Ricardo Cerri
2017	B	`conf`	Incorporating instance correlations in multi-label classification via label-space. IJCNN Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri
2017	C	`conf`	Stacking Methods for Hierarchical Classification. ICMLA Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri
2017	B	`conf`	Top-down strategies for hierarchical classification of transposable elements with neural networks. IJCNN Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri
2016	—	`conf`	Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. BRACIS Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2016	J	`jnl`	Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinform. Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho, Yaochu Jin
2015	J	`jnl`	An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. Comput. Intell. Ricardo Cerri, Gisele L. Pappa, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2015	B	`conf`	Hierarchical classification of Gene Ontology-based protein functions with neural networks. IJCNN Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho
2015	J	`jnl`	Learning HMMs for nucleotide sequences from amino acid alignments. Bioinform. Carlos N. Fischer, Claudia M. A. Carareto, Renato Augusto Corrêa dos Santos, Ricardo Cerri, Eduardo P. Costa, Leander Schietgat, Celine Vens
2014	J	`jnl`	A framework for bottom-up induction of oblique decision trees. Neurocomputing Rodrigo C. Barros, Pablo A. Jaskowiak, Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho
2014	—	`conf`	Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. GECCO (Companion) Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2014	J	`jnl`	Hierarchical multi-label classification using local neural networks. J. Comput. Syst. Sci. Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
2013	B	`conf`	A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2013	A	`conf`	A grammatical evolution approach for software effort estimation. GECCO Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, André C. P. L. F. de Carvalho
2013	—	`conf`	Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors. BRACIS Ricardo Cerri, Rodrigo Coelho Barros, André C. P. L. F. de Carvalho
2013	—	`—`	Neural networks and genetic algorithms for hierarchical multi-label classification. Ricardo Cerri
2013	—	`conf`	Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2012	Misc	`conf`	A genetic algorithm for Hierarchical Multi-Label Classification. SAC Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
2011	C	`conf`	A bottom-up oblique decision tree induction algorithm. ISDA Rodrigo C. Barros, Ricardo Cerri, Pablo A. Jaskowiak, André Carlos Ponce de Leon Ferreira de Carvalho
2011	J	`jnl`	Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intell. Data Anal. Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2011	—	`conf`	Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks. BSB Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho
2011	C	`conf`	Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. ISDA Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
2010	—	`conf`	Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks. SBRN Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho
2010	B	`conf`	New top-down methods using SVMs for Hierarchical Multilabel Classification problems. IJCNN Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho
2009	—	`conf`	Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques. BSB Ricardo Cerri, Renato R. O. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho